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-rw-r--r--python/futures/concurrent/__init__.py3
-rw-r--r--python/futures/concurrent/futures/__init__.py23
-rw-r--r--python/futures/concurrent/futures/_base.py605
-rw-r--r--python/futures/concurrent/futures/process.py359
-rw-r--r--python/futures/concurrent/futures/thread.py134
5 files changed, 1124 insertions, 0 deletions
diff --git a/python/futures/concurrent/__init__.py b/python/futures/concurrent/__init__.py
new file mode 100644
index 000000000..b36383a61
--- /dev/null
+++ b/python/futures/concurrent/__init__.py
@@ -0,0 +1,3 @@
+from pkgutil import extend_path
+
+__path__ = extend_path(__path__, __name__)
diff --git a/python/futures/concurrent/futures/__init__.py b/python/futures/concurrent/futures/__init__.py
new file mode 100644
index 000000000..428b14bdf
--- /dev/null
+++ b/python/futures/concurrent/futures/__init__.py
@@ -0,0 +1,23 @@
+# Copyright 2009 Brian Quinlan. All Rights Reserved.
+# Licensed to PSF under a Contributor Agreement.
+
+"""Execute computations asynchronously using threads or processes."""
+
+__author__ = 'Brian Quinlan (brian@sweetapp.com)'
+
+from concurrent.futures._base import (FIRST_COMPLETED,
+ FIRST_EXCEPTION,
+ ALL_COMPLETED,
+ CancelledError,
+ TimeoutError,
+ Future,
+ Executor,
+ wait,
+ as_completed)
+from concurrent.futures.thread import ThreadPoolExecutor
+
+try:
+ from concurrent.futures.process import ProcessPoolExecutor
+except ImportError:
+ # some platforms don't have multiprocessing
+ pass
diff --git a/python/futures/concurrent/futures/_base.py b/python/futures/concurrent/futures/_base.py
new file mode 100644
index 000000000..fbf027512
--- /dev/null
+++ b/python/futures/concurrent/futures/_base.py
@@ -0,0 +1,605 @@
+# Copyright 2009 Brian Quinlan. All Rights Reserved.
+# Licensed to PSF under a Contributor Agreement.
+
+import collections
+import logging
+import threading
+import itertools
+import time
+
+__author__ = 'Brian Quinlan (brian@sweetapp.com)'
+
+FIRST_COMPLETED = 'FIRST_COMPLETED'
+FIRST_EXCEPTION = 'FIRST_EXCEPTION'
+ALL_COMPLETED = 'ALL_COMPLETED'
+_AS_COMPLETED = '_AS_COMPLETED'
+
+# Possible future states (for internal use by the futures package).
+PENDING = 'PENDING'
+RUNNING = 'RUNNING'
+# The future was cancelled by the user...
+CANCELLED = 'CANCELLED'
+# ...and _Waiter.add_cancelled() was called by a worker.
+CANCELLED_AND_NOTIFIED = 'CANCELLED_AND_NOTIFIED'
+FINISHED = 'FINISHED'
+
+_FUTURE_STATES = [
+ PENDING,
+ RUNNING,
+ CANCELLED,
+ CANCELLED_AND_NOTIFIED,
+ FINISHED
+]
+
+_STATE_TO_DESCRIPTION_MAP = {
+ PENDING: "pending",
+ RUNNING: "running",
+ CANCELLED: "cancelled",
+ CANCELLED_AND_NOTIFIED: "cancelled",
+ FINISHED: "finished"
+}
+
+# Logger for internal use by the futures package.
+LOGGER = logging.getLogger("concurrent.futures")
+
+class Error(Exception):
+ """Base class for all future-related exceptions."""
+ pass
+
+class CancelledError(Error):
+ """The Future was cancelled."""
+ pass
+
+class TimeoutError(Error):
+ """The operation exceeded the given deadline."""
+ pass
+
+class _Waiter(object):
+ """Provides the event that wait() and as_completed() block on."""
+ def __init__(self):
+ self.event = threading.Event()
+ self.finished_futures = []
+
+ def add_result(self, future):
+ self.finished_futures.append(future)
+
+ def add_exception(self, future):
+ self.finished_futures.append(future)
+
+ def add_cancelled(self, future):
+ self.finished_futures.append(future)
+
+class _AsCompletedWaiter(_Waiter):
+ """Used by as_completed()."""
+
+ def __init__(self):
+ super(_AsCompletedWaiter, self).__init__()
+ self.lock = threading.Lock()
+
+ def add_result(self, future):
+ with self.lock:
+ super(_AsCompletedWaiter, self).add_result(future)
+ self.event.set()
+
+ def add_exception(self, future):
+ with self.lock:
+ super(_AsCompletedWaiter, self).add_exception(future)
+ self.event.set()
+
+ def add_cancelled(self, future):
+ with self.lock:
+ super(_AsCompletedWaiter, self).add_cancelled(future)
+ self.event.set()
+
+class _FirstCompletedWaiter(_Waiter):
+ """Used by wait(return_when=FIRST_COMPLETED)."""
+
+ def add_result(self, future):
+ super(_FirstCompletedWaiter, self).add_result(future)
+ self.event.set()
+
+ def add_exception(self, future):
+ super(_FirstCompletedWaiter, self).add_exception(future)
+ self.event.set()
+
+ def add_cancelled(self, future):
+ super(_FirstCompletedWaiter, self).add_cancelled(future)
+ self.event.set()
+
+class _AllCompletedWaiter(_Waiter):
+ """Used by wait(return_when=FIRST_EXCEPTION and ALL_COMPLETED)."""
+
+ def __init__(self, num_pending_calls, stop_on_exception):
+ self.num_pending_calls = num_pending_calls
+ self.stop_on_exception = stop_on_exception
+ self.lock = threading.Lock()
+ super(_AllCompletedWaiter, self).__init__()
+
+ def _decrement_pending_calls(self):
+ with self.lock:
+ self.num_pending_calls -= 1
+ if not self.num_pending_calls:
+ self.event.set()
+
+ def add_result(self, future):
+ super(_AllCompletedWaiter, self).add_result(future)
+ self._decrement_pending_calls()
+
+ def add_exception(self, future):
+ super(_AllCompletedWaiter, self).add_exception(future)
+ if self.stop_on_exception:
+ self.event.set()
+ else:
+ self._decrement_pending_calls()
+
+ def add_cancelled(self, future):
+ super(_AllCompletedWaiter, self).add_cancelled(future)
+ self._decrement_pending_calls()
+
+class _AcquireFutures(object):
+ """A context manager that does an ordered acquire of Future conditions."""
+
+ def __init__(self, futures):
+ self.futures = sorted(futures, key=id)
+
+ def __enter__(self):
+ for future in self.futures:
+ future._condition.acquire()
+
+ def __exit__(self, *args):
+ for future in self.futures:
+ future._condition.release()
+
+def _create_and_install_waiters(fs, return_when):
+ if return_when == _AS_COMPLETED:
+ waiter = _AsCompletedWaiter()
+ elif return_when == FIRST_COMPLETED:
+ waiter = _FirstCompletedWaiter()
+ else:
+ pending_count = sum(
+ f._state not in [CANCELLED_AND_NOTIFIED, FINISHED] for f in fs)
+
+ if return_when == FIRST_EXCEPTION:
+ waiter = _AllCompletedWaiter(pending_count, stop_on_exception=True)
+ elif return_when == ALL_COMPLETED:
+ waiter = _AllCompletedWaiter(pending_count, stop_on_exception=False)
+ else:
+ raise ValueError("Invalid return condition: %r" % return_when)
+
+ for f in fs:
+ f._waiters.append(waiter)
+
+ return waiter
+
+def as_completed(fs, timeout=None):
+ """An iterator over the given futures that yields each as it completes.
+
+ Args:
+ fs: The sequence of Futures (possibly created by different Executors) to
+ iterate over.
+ timeout: The maximum number of seconds to wait. If None, then there
+ is no limit on the wait time.
+
+ Returns:
+ An iterator that yields the given Futures as they complete (finished or
+ cancelled). If any given Futures are duplicated, they will be returned
+ once.
+
+ Raises:
+ TimeoutError: If the entire result iterator could not be generated
+ before the given timeout.
+ """
+ if timeout is not None:
+ end_time = timeout + time.time()
+
+ fs = set(fs)
+ with _AcquireFutures(fs):
+ finished = set(
+ f for f in fs
+ if f._state in [CANCELLED_AND_NOTIFIED, FINISHED])
+ pending = fs - finished
+ waiter = _create_and_install_waiters(fs, _AS_COMPLETED)
+
+ try:
+ for future in finished:
+ yield future
+
+ while pending:
+ if timeout is None:
+ wait_timeout = None
+ else:
+ wait_timeout = end_time - time.time()
+ if wait_timeout < 0:
+ raise TimeoutError(
+ '%d (of %d) futures unfinished' % (
+ len(pending), len(fs)))
+
+ waiter.event.wait(wait_timeout)
+
+ with waiter.lock:
+ finished = waiter.finished_futures
+ waiter.finished_futures = []
+ waiter.event.clear()
+
+ for future in finished:
+ yield future
+ pending.remove(future)
+
+ finally:
+ for f in fs:
+ f._waiters.remove(waiter)
+
+DoneAndNotDoneFutures = collections.namedtuple(
+ 'DoneAndNotDoneFutures', 'done not_done')
+def wait(fs, timeout=None, return_when=ALL_COMPLETED):
+ """Wait for the futures in the given sequence to complete.
+
+ Args:
+ fs: The sequence of Futures (possibly created by different Executors) to
+ wait upon.
+ timeout: The maximum number of seconds to wait. If None, then there
+ is no limit on the wait time.
+ return_when: Indicates when this function should return. The options
+ are:
+
+ FIRST_COMPLETED - Return when any future finishes or is
+ cancelled.
+ FIRST_EXCEPTION - Return when any future finishes by raising an
+ exception. If no future raises an exception
+ then it is equivalent to ALL_COMPLETED.
+ ALL_COMPLETED - Return when all futures finish or are cancelled.
+
+ Returns:
+ A named 2-tuple of sets. The first set, named 'done', contains the
+ futures that completed (is finished or cancelled) before the wait
+ completed. The second set, named 'not_done', contains uncompleted
+ futures.
+ """
+ with _AcquireFutures(fs):
+ done = set(f for f in fs
+ if f._state in [CANCELLED_AND_NOTIFIED, FINISHED])
+ not_done = set(fs) - done
+
+ if (return_when == FIRST_COMPLETED) and done:
+ return DoneAndNotDoneFutures(done, not_done)
+ elif (return_when == FIRST_EXCEPTION) and done:
+ if any(f for f in done
+ if not f.cancelled() and f.exception() is not None):
+ return DoneAndNotDoneFutures(done, not_done)
+
+ if len(done) == len(fs):
+ return DoneAndNotDoneFutures(done, not_done)
+
+ waiter = _create_and_install_waiters(fs, return_when)
+
+ waiter.event.wait(timeout)
+ for f in fs:
+ f._waiters.remove(waiter)
+
+ done.update(waiter.finished_futures)
+ return DoneAndNotDoneFutures(done, set(fs) - done)
+
+class Future(object):
+ """Represents the result of an asynchronous computation."""
+
+ def __init__(self):
+ """Initializes the future. Should not be called by clients."""
+ self._condition = threading.Condition()
+ self._state = PENDING
+ self._result = None
+ self._exception = None
+ self._traceback = None
+ self._waiters = []
+ self._done_callbacks = []
+
+ def _invoke_callbacks(self):
+ for callback in self._done_callbacks:
+ try:
+ callback(self)
+ except Exception:
+ LOGGER.exception('exception calling callback for %r', self)
+
+ def __repr__(self):
+ with self._condition:
+ if self._state == FINISHED:
+ if self._exception:
+ return '<Future at %s state=%s raised %s>' % (
+ hex(id(self)),
+ _STATE_TO_DESCRIPTION_MAP[self._state],
+ self._exception.__class__.__name__)
+ else:
+ return '<Future at %s state=%s returned %s>' % (
+ hex(id(self)),
+ _STATE_TO_DESCRIPTION_MAP[self._state],
+ self._result.__class__.__name__)
+ return '<Future at %s state=%s>' % (
+ hex(id(self)),
+ _STATE_TO_DESCRIPTION_MAP[self._state])
+
+ def cancel(self):
+ """Cancel the future if possible.
+
+ Returns True if the future was cancelled, False otherwise. A future
+ cannot be cancelled if it is running or has already completed.
+ """
+ with self._condition:
+ if self._state in [RUNNING, FINISHED]:
+ return False
+
+ if self._state in [CANCELLED, CANCELLED_AND_NOTIFIED]:
+ return True
+
+ self._state = CANCELLED
+ self._condition.notify_all()
+
+ self._invoke_callbacks()
+ return True
+
+ def cancelled(self):
+ """Return True if the future has cancelled."""
+ with self._condition:
+ return self._state in [CANCELLED, CANCELLED_AND_NOTIFIED]
+
+ def running(self):
+ """Return True if the future is currently executing."""
+ with self._condition:
+ return self._state == RUNNING
+
+ def done(self):
+ """Return True of the future was cancelled or finished executing."""
+ with self._condition:
+ return self._state in [CANCELLED, CANCELLED_AND_NOTIFIED, FINISHED]
+
+ def __get_result(self):
+ if self._exception:
+ raise type(self._exception), self._exception, self._traceback
+ else:
+ return self._result
+
+ def add_done_callback(self, fn):
+ """Attaches a callable that will be called when the future finishes.
+
+ Args:
+ fn: A callable that will be called with this future as its only
+ argument when the future completes or is cancelled. The callable
+ will always be called by a thread in the same process in which
+ it was added. If the future has already completed or been
+ cancelled then the callable will be called immediately. These
+ callables are called in the order that they were added.
+ """
+ with self._condition:
+ if self._state not in [CANCELLED, CANCELLED_AND_NOTIFIED, FINISHED]:
+ self._done_callbacks.append(fn)
+ return
+ fn(self)
+
+ def result(self, timeout=None):
+ """Return the result of the call that the future represents.
+
+ Args:
+ timeout: The number of seconds to wait for the result if the future
+ isn't done. If None, then there is no limit on the wait time.
+
+ Returns:
+ The result of the call that the future represents.
+
+ Raises:
+ CancelledError: If the future was cancelled.
+ TimeoutError: If the future didn't finish executing before the given
+ timeout.
+ Exception: If the call raised then that exception will be raised.
+ """
+ with self._condition:
+ if self._state in [CANCELLED, CANCELLED_AND_NOTIFIED]:
+ raise CancelledError()
+ elif self._state == FINISHED:
+ return self.__get_result()
+
+ self._condition.wait(timeout)
+
+ if self._state in [CANCELLED, CANCELLED_AND_NOTIFIED]:
+ raise CancelledError()
+ elif self._state == FINISHED:
+ return self.__get_result()
+ else:
+ raise TimeoutError()
+
+ def exception_info(self, timeout=None):
+ """Return a tuple of (exception, traceback) raised by the call that the
+ future represents.
+
+ Args:
+ timeout: The number of seconds to wait for the exception if the
+ future isn't done. If None, then there is no limit on the wait
+ time.
+
+ Returns:
+ The exception raised by the call that the future represents or None
+ if the call completed without raising.
+
+ Raises:
+ CancelledError: If the future was cancelled.
+ TimeoutError: If the future didn't finish executing before the given
+ timeout.
+ """
+ with self._condition:
+ if self._state in [CANCELLED, CANCELLED_AND_NOTIFIED]:
+ raise CancelledError()
+ elif self._state == FINISHED:
+ return self._exception, self._traceback
+
+ self._condition.wait(timeout)
+
+ if self._state in [CANCELLED, CANCELLED_AND_NOTIFIED]:
+ raise CancelledError()
+ elif self._state == FINISHED:
+ return self._exception, self._traceback
+ else:
+ raise TimeoutError()
+
+ def exception(self, timeout=None):
+ """Return the exception raised by the call that the future represents.
+
+ Args:
+ timeout: The number of seconds to wait for the exception if the
+ future isn't done. If None, then there is no limit on the wait
+ time.
+
+ Returns:
+ The exception raised by the call that the future represents or None
+ if the call completed without raising.
+
+ Raises:
+ CancelledError: If the future was cancelled.
+ TimeoutError: If the future didn't finish executing before the given
+ timeout.
+ """
+ return self.exception_info(timeout)[0]
+
+ # The following methods should only be used by Executors and in tests.
+ def set_running_or_notify_cancel(self):
+ """Mark the future as running or process any cancel notifications.
+
+ Should only be used by Executor implementations and unit tests.
+
+ If the future has been cancelled (cancel() was called and returned
+ True) then any threads waiting on the future completing (though calls
+ to as_completed() or wait()) are notified and False is returned.
+
+ If the future was not cancelled then it is put in the running state
+ (future calls to running() will return True) and True is returned.
+
+ This method should be called by Executor implementations before
+ executing the work associated with this future. If this method returns
+ False then the work should not be executed.
+
+ Returns:
+ False if the Future was cancelled, True otherwise.
+
+ Raises:
+ RuntimeError: if this method was already called or if set_result()
+ or set_exception() was called.
+ """
+ with self._condition:
+ if self._state == CANCELLED:
+ self._state = CANCELLED_AND_NOTIFIED
+ for waiter in self._waiters:
+ waiter.add_cancelled(self)
+ # self._condition.notify_all() is not necessary because
+ # self.cancel() triggers a notification.
+ return False
+ elif self._state == PENDING:
+ self._state = RUNNING
+ return True
+ else:
+ LOGGER.critical('Future %s in unexpected state: %s',
+ id(self),
+ self._state)
+ raise RuntimeError('Future in unexpected state')
+
+ def set_result(self, result):
+ """Sets the return value of work associated with the future.
+
+ Should only be used by Executor implementations and unit tests.
+ """
+ with self._condition:
+ self._result = result
+ self._state = FINISHED
+ for waiter in self._waiters:
+ waiter.add_result(self)
+ self._condition.notify_all()
+ self._invoke_callbacks()
+
+ def set_exception_info(self, exception, traceback):
+ """Sets the result of the future as being the given exception
+ and traceback.
+
+ Should only be used by Executor implementations and unit tests.
+ """
+ with self._condition:
+ self._exception = exception
+ self._traceback = traceback
+ self._state = FINISHED
+ for waiter in self._waiters:
+ waiter.add_exception(self)
+ self._condition.notify_all()
+ self._invoke_callbacks()
+
+ def set_exception(self, exception):
+ """Sets the result of the future as being the given exception.
+
+ Should only be used by Executor implementations and unit tests.
+ """
+ self.set_exception_info(exception, None)
+
+class Executor(object):
+ """This is an abstract base class for concrete asynchronous executors."""
+
+ def submit(self, fn, *args, **kwargs):
+ """Submits a callable to be executed with the given arguments.
+
+ Schedules the callable to be executed as fn(*args, **kwargs) and returns
+ a Future instance representing the execution of the callable.
+
+ Returns:
+ A Future representing the given call.
+ """
+ raise NotImplementedError()
+
+ def map(self, fn, *iterables, **kwargs):
+ """Returns a iterator equivalent to map(fn, iter).
+
+ Args:
+ fn: A callable that will take as many arguments as there are
+ passed iterables.
+ timeout: The maximum number of seconds to wait. If None, then there
+ is no limit on the wait time.
+
+ Returns:
+ An iterator equivalent to: map(func, *iterables) but the calls may
+ be evaluated out-of-order.
+
+ Raises:
+ TimeoutError: If the entire result iterator could not be generated
+ before the given timeout.
+ Exception: If fn(*args) raises for any values.
+ """
+ timeout = kwargs.get('timeout')
+ if timeout is not None:
+ end_time = timeout + time.time()
+
+ fs = [self.submit(fn, *args) for args in itertools.izip(*iterables)]
+
+ # Yield must be hidden in closure so that the futures are submitted
+ # before the first iterator value is required.
+ def result_iterator():
+ try:
+ for future in fs:
+ if timeout is None:
+ yield future.result()
+ else:
+ yield future.result(end_time - time.time())
+ finally:
+ for future in fs:
+ future.cancel()
+ return result_iterator()
+
+ def shutdown(self, wait=True):
+ """Clean-up the resources associated with the Executor.
+
+ It is safe to call this method several times. Otherwise, no other
+ methods can be called after this one.
+
+ Args:
+ wait: If True then shutdown will not return until all running
+ futures have finished executing and the resources used by the
+ executor have been reclaimed.
+ """
+ pass
+
+ def __enter__(self):
+ return self
+
+ def __exit__(self, exc_type, exc_val, exc_tb):
+ self.shutdown(wait=True)
+ return False
diff --git a/python/futures/concurrent/futures/process.py b/python/futures/concurrent/futures/process.py
new file mode 100644
index 000000000..ee463f181
--- /dev/null
+++ b/python/futures/concurrent/futures/process.py
@@ -0,0 +1,359 @@
+# Copyright 2009 Brian Quinlan. All Rights Reserved.
+# Licensed to PSF under a Contributor Agreement.
+
+"""Implements ProcessPoolExecutor.
+
+The follow diagram and text describe the data-flow through the system:
+
+|======================= In-process =====================|== Out-of-process ==|
+
++----------+ +----------+ +--------+ +-----------+ +---------+
+| | => | Work Ids | => | | => | Call Q | => | |
+| | +----------+ | | +-----------+ | |
+| | | ... | | | | ... | | |
+| | | 6 | | | | 5, call() | | |
+| | | 7 | | | | ... | | |
+| Process | | ... | | Local | +-----------+ | Process |
+| Pool | +----------+ | Worker | | #1..n |
+| Executor | | Thread | | |
+| | +----------- + | | +-----------+ | |
+| | <=> | Work Items | <=> | | <= | Result Q | <= | |
+| | +------------+ | | +-----------+ | |
+| | | 6: call() | | | | ... | | |
+| | | future | | | | 4, result | | |
+| | | ... | | | | 3, except | | |
++----------+ +------------+ +--------+ +-----------+ +---------+
+
+Executor.submit() called:
+- creates a uniquely numbered _WorkItem and adds it to the "Work Items" dict
+- adds the id of the _WorkItem to the "Work Ids" queue
+
+Local worker thread:
+- reads work ids from the "Work Ids" queue and looks up the corresponding
+ WorkItem from the "Work Items" dict: if the work item has been cancelled then
+ it is simply removed from the dict, otherwise it is repackaged as a
+ _CallItem and put in the "Call Q". New _CallItems are put in the "Call Q"
+ until "Call Q" is full. NOTE: the size of the "Call Q" is kept small because
+ calls placed in the "Call Q" can no longer be cancelled with Future.cancel().
+- reads _ResultItems from "Result Q", updates the future stored in the
+ "Work Items" dict and deletes the dict entry
+
+Process #1..n:
+- reads _CallItems from "Call Q", executes the calls, and puts the resulting
+ _ResultItems in "Request Q"
+"""
+
+import atexit
+from concurrent.futures import _base
+import Queue as queue
+import multiprocessing
+import threading
+import weakref
+import sys
+
+__author__ = 'Brian Quinlan (brian@sweetapp.com)'
+
+# Workers are created as daemon threads and processes. This is done to allow the
+# interpreter to exit when there are still idle processes in a
+# ProcessPoolExecutor's process pool (i.e. shutdown() was not called). However,
+# allowing workers to die with the interpreter has two undesirable properties:
+# - The workers would still be running during interpretor shutdown,
+# meaning that they would fail in unpredictable ways.
+# - The workers could be killed while evaluating a work item, which could
+# be bad if the callable being evaluated has external side-effects e.g.
+# writing to a file.
+#
+# To work around this problem, an exit handler is installed which tells the
+# workers to exit when their work queues are empty and then waits until the
+# threads/processes finish.
+
+_threads_queues = weakref.WeakKeyDictionary()
+_shutdown = False
+
+def _python_exit():
+ global _shutdown
+ _shutdown = True
+ items = list(_threads_queues.items())
+ for t, q in items:
+ q.put(None)
+ for t, q in items:
+ t.join()
+
+# Controls how many more calls than processes will be queued in the call queue.
+# A smaller number will mean that processes spend more time idle waiting for
+# work while a larger number will make Future.cancel() succeed less frequently
+# (Futures in the call queue cannot be cancelled).
+EXTRA_QUEUED_CALLS = 1
+
+class _WorkItem(object):
+ def __init__(self, future, fn, args, kwargs):
+ self.future = future
+ self.fn = fn
+ self.args = args
+ self.kwargs = kwargs
+
+class _ResultItem(object):
+ def __init__(self, work_id, exception=None, result=None):
+ self.work_id = work_id
+ self.exception = exception
+ self.result = result
+
+class _CallItem(object):
+ def __init__(self, work_id, fn, args, kwargs):
+ self.work_id = work_id
+ self.fn = fn
+ self.args = args
+ self.kwargs = kwargs
+
+def _process_worker(call_queue, result_queue):
+ """Evaluates calls from call_queue and places the results in result_queue.
+
+ This worker is run in a separate process.
+
+ Args:
+ call_queue: A multiprocessing.Queue of _CallItems that will be read and
+ evaluated by the worker.
+ result_queue: A multiprocessing.Queue of _ResultItems that will written
+ to by the worker.
+ shutdown: A multiprocessing.Event that will be set as a signal to the
+ worker that it should exit when call_queue is empty.
+ """
+ while True:
+ call_item = call_queue.get(block=True)
+ if call_item is None:
+ # Wake up queue management thread
+ result_queue.put(None)
+ return
+ try:
+ r = call_item.fn(*call_item.args, **call_item.kwargs)
+ except BaseException:
+ e = sys.exc_info()[1]
+ result_queue.put(_ResultItem(call_item.work_id,
+ exception=e))
+ else:
+ result_queue.put(_ResultItem(call_item.work_id,
+ result=r))
+
+def _add_call_item_to_queue(pending_work_items,
+ work_ids,
+ call_queue):
+ """Fills call_queue with _WorkItems from pending_work_items.
+
+ This function never blocks.
+
+ Args:
+ pending_work_items: A dict mapping work ids to _WorkItems e.g.
+ {5: <_WorkItem...>, 6: <_WorkItem...>, ...}
+ work_ids: A queue.Queue of work ids e.g. Queue([5, 6, ...]). Work ids
+ are consumed and the corresponding _WorkItems from
+ pending_work_items are transformed into _CallItems and put in
+ call_queue.
+ call_queue: A multiprocessing.Queue that will be filled with _CallItems
+ derived from _WorkItems.
+ """
+ while True:
+ if call_queue.full():
+ return
+ try:
+ work_id = work_ids.get(block=False)
+ except queue.Empty:
+ return
+ else:
+ work_item = pending_work_items[work_id]
+
+ if work_item.future.set_running_or_notify_cancel():
+ call_queue.put(_CallItem(work_id,
+ work_item.fn,
+ work_item.args,
+ work_item.kwargs),
+ block=True)
+ else:
+ del pending_work_items[work_id]
+ continue
+
+def _queue_management_worker(executor_reference,
+ processes,
+ pending_work_items,
+ work_ids_queue,
+ call_queue,
+ result_queue):
+ """Manages the communication between this process and the worker processes.
+
+ This function is run in a local thread.
+
+ Args:
+ executor_reference: A weakref.ref to the ProcessPoolExecutor that owns
+ this thread. Used to determine if the ProcessPoolExecutor has been
+ garbage collected and that this function can exit.
+ process: A list of the multiprocessing.Process instances used as
+ workers.
+ pending_work_items: A dict mapping work ids to _WorkItems e.g.
+ {5: <_WorkItem...>, 6: <_WorkItem...>, ...}
+ work_ids_queue: A queue.Queue of work ids e.g. Queue([5, 6, ...]).
+ call_queue: A multiprocessing.Queue that will be filled with _CallItems
+ derived from _WorkItems for processing by the process workers.
+ result_queue: A multiprocessing.Queue of _ResultItems generated by the
+ process workers.
+ """
+ nb_shutdown_processes = [0]
+ def shutdown_one_process():
+ """Tell a worker to terminate, which will in turn wake us again"""
+ call_queue.put(None)
+ nb_shutdown_processes[0] += 1
+ while True:
+ _add_call_item_to_queue(pending_work_items,
+ work_ids_queue,
+ call_queue)
+
+ result_item = result_queue.get(block=True)
+ if result_item is not None:
+ work_item = pending_work_items[result_item.work_id]
+ del pending_work_items[result_item.work_id]
+
+ if result_item.exception:
+ work_item.future.set_exception(result_item.exception)
+ else:
+ work_item.future.set_result(result_item.result)
+ # Delete references to object. See issue16284
+ del work_item
+ # Check whether we should start shutting down.
+ executor = executor_reference()
+ # No more work items can be added if:
+ # - The interpreter is shutting down OR
+ # - The executor that owns this worker has been collected OR
+ # - The executor that owns this worker has been shutdown.
+ if _shutdown or executor is None or executor._shutdown_thread:
+ # Since no new work items can be added, it is safe to shutdown
+ # this thread if there are no pending work items.
+ if not pending_work_items:
+ while nb_shutdown_processes[0] < len(processes):
+ shutdown_one_process()
+ # If .join() is not called on the created processes then
+ # some multiprocessing.Queue methods may deadlock on Mac OS
+ # X.
+ for p in processes:
+ p.join()
+ call_queue.close()
+ return
+ del executor
+
+_system_limits_checked = False
+_system_limited = None
+def _check_system_limits():
+ global _system_limits_checked, _system_limited
+ if _system_limits_checked:
+ if _system_limited:
+ raise NotImplementedError(_system_limited)
+ _system_limits_checked = True
+ try:
+ import os
+ nsems_max = os.sysconf("SC_SEM_NSEMS_MAX")
+ except (AttributeError, ValueError):
+ # sysconf not available or setting not available
+ return
+ if nsems_max == -1:
+ # indetermine limit, assume that limit is determined
+ # by available memory only
+ return
+ if nsems_max >= 256:
+ # minimum number of semaphores available
+ # according to POSIX
+ return
+ _system_limited = "system provides too few semaphores (%d available, 256 necessary)" % nsems_max
+ raise NotImplementedError(_system_limited)
+
+class ProcessPoolExecutor(_base.Executor):
+ def __init__(self, max_workers=None):
+ """Initializes a new ProcessPoolExecutor instance.
+
+ Args:
+ max_workers: The maximum number of processes that can be used to
+ execute the given calls. If None or not given then as many
+ worker processes will be created as the machine has processors.
+ """
+ _check_system_limits()
+
+ if max_workers is None:
+ self._max_workers = multiprocessing.cpu_count()
+ else:
+ self._max_workers = max_workers
+
+ # Make the call queue slightly larger than the number of processes to
+ # prevent the worker processes from idling. But don't make it too big
+ # because futures in the call queue cannot be cancelled.
+ self._call_queue = multiprocessing.Queue(self._max_workers +
+ EXTRA_QUEUED_CALLS)
+ self._result_queue = multiprocessing.Queue()
+ self._work_ids = queue.Queue()
+ self._queue_management_thread = None
+ self._processes = set()
+
+ # Shutdown is a two-step process.
+ self._shutdown_thread = False
+ self._shutdown_lock = threading.Lock()
+ self._queue_count = 0
+ self._pending_work_items = {}
+
+ def _start_queue_management_thread(self):
+ # When the executor gets lost, the weakref callback will wake up
+ # the queue management thread.
+ def weakref_cb(_, q=self._result_queue):
+ q.put(None)
+ if self._queue_management_thread is None:
+ self._queue_management_thread = threading.Thread(
+ target=_queue_management_worker,
+ args=(weakref.ref(self, weakref_cb),
+ self._processes,
+ self._pending_work_items,
+ self._work_ids,
+ self._call_queue,
+ self._result_queue))
+ self._queue_management_thread.daemon = True
+ self._queue_management_thread.start()
+ _threads_queues[self._queue_management_thread] = self._result_queue
+
+ def _adjust_process_count(self):
+ for _ in range(len(self._processes), self._max_workers):
+ p = multiprocessing.Process(
+ target=_process_worker,
+ args=(self._call_queue,
+ self._result_queue))
+ p.start()
+ self._processes.add(p)
+
+ def submit(self, fn, *args, **kwargs):
+ with self._shutdown_lock:
+ if self._shutdown_thread:
+ raise RuntimeError('cannot schedule new futures after shutdown')
+
+ f = _base.Future()
+ w = _WorkItem(f, fn, args, kwargs)
+
+ self._pending_work_items[self._queue_count] = w
+ self._work_ids.put(self._queue_count)
+ self._queue_count += 1
+ # Wake up queue management thread
+ self._result_queue.put(None)
+
+ self._start_queue_management_thread()
+ self._adjust_process_count()
+ return f
+ submit.__doc__ = _base.Executor.submit.__doc__
+
+ def shutdown(self, wait=True):
+ with self._shutdown_lock:
+ self._shutdown_thread = True
+ if self._queue_management_thread:
+ # Wake up queue management thread
+ self._result_queue.put(None)
+ if wait:
+ self._queue_management_thread.join()
+ # To reduce the risk of openning too many files, remove references to
+ # objects that use file descriptors.
+ self._queue_management_thread = None
+ self._call_queue = None
+ self._result_queue = None
+ self._processes = None
+ shutdown.__doc__ = _base.Executor.shutdown.__doc__
+
+atexit.register(_python_exit)
diff --git a/python/futures/concurrent/futures/thread.py b/python/futures/concurrent/futures/thread.py
new file mode 100644
index 000000000..fa5ed0c09
--- /dev/null
+++ b/python/futures/concurrent/futures/thread.py
@@ -0,0 +1,134 @@
+# Copyright 2009 Brian Quinlan. All Rights Reserved.
+# Licensed to PSF under a Contributor Agreement.
+
+"""Implements ThreadPoolExecutor."""
+
+import atexit
+from concurrent.futures import _base
+import Queue as queue
+import threading
+import weakref
+import sys
+
+__author__ = 'Brian Quinlan (brian@sweetapp.com)'
+
+# Workers are created as daemon threads. This is done to allow the interpreter
+# to exit when there are still idle threads in a ThreadPoolExecutor's thread
+# pool (i.e. shutdown() was not called). However, allowing workers to die with
+# the interpreter has two undesirable properties:
+# - The workers would still be running during interpretor shutdown,
+# meaning that they would fail in unpredictable ways.
+# - The workers could be killed while evaluating a work item, which could
+# be bad if the callable being evaluated has external side-effects e.g.
+# writing to a file.
+#
+# To work around this problem, an exit handler is installed which tells the
+# workers to exit when their work queues are empty and then waits until the
+# threads finish.
+
+_threads_queues = weakref.WeakKeyDictionary()
+_shutdown = False
+
+def _python_exit():
+ global _shutdown
+ _shutdown = True
+ items = list(_threads_queues.items())
+ for t, q in items:
+ q.put(None)
+ for t, q in items:
+ t.join()
+
+atexit.register(_python_exit)
+
+class _WorkItem(object):
+ def __init__(self, future, fn, args, kwargs):
+ self.future = future
+ self.fn = fn
+ self.args = args
+ self.kwargs = kwargs
+
+ def run(self):
+ if not self.future.set_running_or_notify_cancel():
+ return
+
+ try:
+ result = self.fn(*self.args, **self.kwargs)
+ except BaseException:
+ e, tb = sys.exc_info()[1:]
+ self.future.set_exception_info(e, tb)
+ else:
+ self.future.set_result(result)
+
+def _worker(executor_reference, work_queue):
+ try:
+ while True:
+ work_item = work_queue.get(block=True)
+ if work_item is not None:
+ work_item.run()
+ # Delete references to object. See issue16284
+ del work_item
+ continue
+ executor = executor_reference()
+ # Exit if:
+ # - The interpreter is shutting down OR
+ # - The executor that owns the worker has been collected OR
+ # - The executor that owns the worker has been shutdown.
+ if _shutdown or executor is None or executor._shutdown:
+ # Notice other workers
+ work_queue.put(None)
+ return
+ del executor
+ except BaseException:
+ _base.LOGGER.critical('Exception in worker', exc_info=True)
+
+class ThreadPoolExecutor(_base.Executor):
+ def __init__(self, max_workers):
+ """Initializes a new ThreadPoolExecutor instance.
+
+ Args:
+ max_workers: The maximum number of threads that can be used to
+ execute the given calls.
+ """
+ self._max_workers = max_workers
+ self._work_queue = queue.Queue()
+ self._threads = set()
+ self._shutdown = False
+ self._shutdown_lock = threading.Lock()
+
+ def submit(self, fn, *args, **kwargs):
+ with self._shutdown_lock:
+ if self._shutdown:
+ raise RuntimeError('cannot schedule new futures after shutdown')
+
+ f = _base.Future()
+ w = _WorkItem(f, fn, args, kwargs)
+
+ self._work_queue.put(w)
+ self._adjust_thread_count()
+ return f
+ submit.__doc__ = _base.Executor.submit.__doc__
+
+ def _adjust_thread_count(self):
+ # When the executor gets lost, the weakref callback will wake up
+ # the worker threads.
+ def weakref_cb(_, q=self._work_queue):
+ q.put(None)
+ # TODO(bquinlan): Should avoid creating new threads if there are more
+ # idle threads than items in the work queue.
+ if len(self._threads) < self._max_workers:
+ t = threading.Thread(target=_worker,
+ args=(weakref.ref(self, weakref_cb),
+ self._work_queue))
+ t.daemon = True
+ t.start()
+ self._threads.add(t)
+ _threads_queues[t] = self._work_queue
+
+ def shutdown(self, wait=True):
+ with self._shutdown_lock:
+ self._shutdown = True
+ self._work_queue.put(None)
+ if wait:
+ for t in self._threads:
+ t.join()
+ shutdown.__doc__ = _base.Executor.shutdown.__doc__